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1مؤتمر
المؤلفون: Zhu, Ting, Zheng, Yixiang, Pu, Jiang
المصدر: 2024 9th International Conference on Signal and Image Processing (ICSIP) Signal and Image Processing (ICSIP), 2024 9th International Conference on. :226-230 Jul, 2024
Relation: 2024 9th International Conference on Signal and Image Processing (ICSIP)
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2دورية أكاديمية
المصدر: IEEE Transactions on Circuits and Systems II: Express Briefs IEEE Trans. Circuits Syst. II Circuits and Systems II: Express Briefs, IEEE Transactions on. 71(2):987-991 Feb, 2024
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3دورية أكاديمية
المصدر: IEEE Transactions on Neural Systems and Rehabilitation Engineering IEEE Trans. Neural Syst. Rehabil. Eng. Neural Systems and Rehabilitation Engineering, IEEE Transactions on. 31:806-817 2023
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4دورية أكاديمية
المؤلفون: Steur, N.A.K., Schwenker, F.
المصدر: IEEE Access Access, IEEE. 11:117368-117384 2023
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5دورية أكاديمية
المصدر: IEEE Transactions on Image Processing IEEE Trans. on Image Process. Image Processing, IEEE Transactions on. 32:72-87 2023
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6مؤتمر
المؤلفون: Lee, Shi-wook
المصدر: 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) Automatic Speech Recognition and Understanding Workshop (ASRU), 2021 IEEE. :374-379 Dec, 2021
Relation: 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
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7دورية أكاديمية
المؤلفون: Yuwu Lu, Wanming Huang
المصدر: Mathematics, Vol 12, Iss 16, p 2564 (2024)
مصطلحات موضوعية: multisource domain adaptation, correlation learning, class discriminative feature learning, Mathematics, QA1-939
وصف الملف: electronic resource
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8دورية أكاديمية
المؤلفون: Seyfi, MajidAff1, IDs00500022075177_cor1, Xu, Yue
المصدر: Soft Computing: A Fusion of Foundations, Methodologies and Applications. 27(2):953-971
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9دورية أكاديمية
المؤلفون: Seyfi, MajidAff1, IDs42979023018199_cor1, Xu, Yue, Nayak, Richi
المصدر: SN Computer Science. 4(4)
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10دورية أكاديمية
المؤلفون: Nikolai A. K. Steur, Friedhelm Schwenker
المصدر: IEEE Access, Vol 11, Pp 117368-117384 (2023)
مصطلحات موضوعية: Autoencoder, capsule networks, class-discriminative equivariance, deep clustering, unsupervised representation learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource